{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "#### count 条形图: 单列观测值数量\n",
    "- seaborn.catplot(kind='count'): figure-level\n",
    "- seaborn.countplot(): axes-level"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "df1 = pd.read_csv('./input/athlete_events.csv')\n",
    "df2 = pd.read_csv('./input/noc_regions.csv')\n",
    "df = pd.merge(\n",
    "    df1, df2,\n",
    "    on='NOC',\n",
    "    how='left',\n",
    "    validate='m:1')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "sns.set(\n",
    "    context='talk',  # paper, notebook, talk, poster\n",
    "    style='darkgrid',  # darkgrid, whitegrid, dark, white, ticks\n",
    "    palette='pastel',  # deep,muted,bright,pastel,dark,colorblind,hls,husl,cm\n",
    "    rc={\n",
    "        'figure.figsize': [8, 6],\n",
    "        'font.sans-serif': ['SimHei']  \n",
    "    }\n",
    ")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "     A  B\n0    x  1\n1    x  2\n2    y  3\n3    y  4\n4    y  5\n5  NaN  6",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>A</th>\n      <th>B</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>x</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>x</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>y</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>y</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>y</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>NaN</td>\n      <td>6</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp = pd.DataFrame({\n",
    "    'A': ['x', 'x', 'y', 'y', 'y', np.NaN],\n",
    "    'B': [1,2,3,4,5,6]\n",
    "})\n",
    "df_temp"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7fc120de0990>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 576x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(\n",
    "    x='A',\n",
    "    data=df_temp\n",
    ")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "   B\nA   \nx  2\ny  3",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>B</th>\n    </tr>\n    <tr>\n      <th>A</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>x</th>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>y</th>\n      <td>3</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp.groupby('A').agg('count')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 39783 entries, 142882 to 270358\n",
      "Data columns (total 17 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   ID      39783 non-null  Int64  \n",
      " 1   Name    39783 non-null  string \n",
      " 2   Sex     39783 non-null  string \n",
      " 3   Age     39051 non-null  Int64  \n",
      " 4   Height  31072 non-null  Int64  \n",
      " 5   Weight  30456 non-null  float64\n",
      " 6   Team    39783 non-null  string \n",
      " 7   NOC     39783 non-null  string \n",
      " 8   Games   39783 non-null  string \n",
      " 9   Year    39783 non-null  Int64  \n",
      " 10  Season  39783 non-null  string \n",
      " 11  City    39783 non-null  string \n",
      " 12  Sport   39783 non-null  string \n",
      " 13  Event   39783 non-null  string \n",
      " 14  Medal   39783 non-null  string \n",
      " 15  region  39774 non-null  string \n",
      " 16  notes   545 non-null    string \n",
      "dtypes: Int64(4), float64(1), string(12)\n",
      "memory usage: 5.6 MB\n"
     ]
    }
   ],
   "source": [
    "df_medal = df.dropna(subset=['Medal']).convert_dtypes()\n",
    "df_medal = df_medal.sort_values('Age')\n",
    "df_medal.info()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1296x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[18, 6])\n",
    "ax = sns.countplot(\n",
    "    x='Age',\n",
    "    data=df_medal\n",
    ")\n",
    "ax.tick_params(\n",
    "    rotation=90, axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1296x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[18, 6])\n",
    "ax = sns.countplot(\n",
    "    df_medal['Age']\n",
    ")\n",
    "ax.tick_params(\n",
    "    rotation=90, axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1296x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[18, 6])\n",
    "ax = sns.countplot(\n",
    "    x='Age',\n",
    "    data=df_medal.query(\"Medal=='Gold'\")\n",
    ")\n",
    "ax.tick_params(\n",
    "    rotation=90, axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9296 entries, 80827 to 222156\n",
      "Data columns (total 17 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   ID      9296 non-null   Int64  \n",
      " 1   Name    9296 non-null   string \n",
      " 2   Sex     9296 non-null   string \n",
      " 3   Age     9296 non-null   Int64  \n",
      " 4   Height  9173 non-null   Int64  \n",
      " 5   Weight  9145 non-null   float64\n",
      " 6   Team    9296 non-null   string \n",
      " 7   NOC     9296 non-null   string \n",
      " 8   Games   9296 non-null   string \n",
      " 9   Year    9296 non-null   Int64  \n",
      " 10  Season  9296 non-null   string \n",
      " 11  City    9296 non-null   string \n",
      " 12  Sport   9296 non-null   string \n",
      " 13  Event   9296 non-null   string \n",
      " 14  Medal   9296 non-null   string \n",
      " 15  region  9292 non-null   string \n",
      " 16  notes   63 non-null     string \n",
      "dtypes: Int64(4), float64(1), string(12)\n",
      "memory usage: 1.3 MB\n"
     ]
    }
   ],
   "source": [
    "df_medal = df_medal.drop_duplicates(\n",
    "    # 对三个观测值同时重复的只保留一条\n",
    "    subset=['Games', 'Event', 'Medal']\n",
    ")\n",
    "df_medal = df_medal.query('Year>=1984')\n",
    "df_medal.info()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "USA            1149\nRussia          870\nGermany         810\nChina           583\nFrance          357\nUK              335\nAustralia       334\nItaly           328\nCanada          309\nSouth Korea     283\nName: region, dtype: Int64"
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = df_medal['region'].value_counts().head(10)\n",
    "s"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7fc107e4d150>"
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 576x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.plot(kind='bar')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7fc10848ef90>"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 576x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(\n",
    "    x='Medal',\n",
    "    data=df_medal,\n",
    "    # 对金银铜进行排序\n",
    "    order=['Gold', 'Silver', 'Bronze'],\n",
    "    palette=['Gold', 'Silver', 'r'] # 设置颜色\n",
    ")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, '中美1984年后奖牌总数对比')"
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 576x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(\n",
    "    x='Medal',\n",
    "    hue='NOC',\n",
    "    data=df_medal[df_medal['NOC'].isin(['CHN', 'USA'])],\n",
    "    order=['Gold', 'Silver', 'Bronze'],\n",
    ")\n",
    "ax.set_title('中美1984年后奖牌总数对比')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, '中美2008年奖牌总数对比')"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 576x432 with 1 Axes>",
      "image/png": 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0kiVLIiUlBS9fvjR7IH3x4gXc3NwAvDpnPGnSJMyYMcPgvalevTpatWqFuXPnYtiwYdi9e3e2183nVEZGBrRaLezs7CAWi+Hg4IDff/8d5cqVw7Rp07Bw4UL9KYDXqdVqpKWloUSJEvr3OjMzE5MnT8bkyZMBAGPHjsWIESOwY8cOXLt2TT+5Uffu3eHt7Y2tW7fC3d3dZF3NmjXDjRs3DALTmjVr0KZNG5QtW9agbdZAwNcdOHAAkZGREIvFePnyJaysrLBjxw4Ar75Hx48fh0gkQufOnTFlyhTUq1cPV69exYIFC8y+V+XLl0f9+vVx+vRpPHnyBB4eHlAoFAgJCcFPP/2EVq1avXUcR3YkEgnDABlgIKAiLS0tDWXLlsWCBQuMRusHBQWhZcuWRhPX3L17F2PGjEFaWhoUCgVWrVqFhQsXQiKRGB0INBoNRowYYbQ8q/v5zVHfsbGxGDRoEOzs7LB161aDc8qv8/DwAPBqEJypNoIg4Pbt22jWrBkA6A905tqnpKTg33//1Y9hOHnyJKRSKXr06GHy+fv06YOlS5fizz//hJ+fH548eQKtVgsrKyskJydDrVbrT2sAr3o8tFqtwTLgVRd1RkYGXFxcIJfLsXnzZoSFhemv03/zvQSAatWqGa3TarUQBAFHjhzRH6CfP3+OFStWoHnz5pgyZQokEglUKhXmzZsHpVKJH374Qf9evN47otVqodVqjXowstb/9ddf8PDwQEZGBnr27IkxY8YYfEdSU1P1EyplmTx5Mr799lvMnTsXT58+xffffw/g1QDBCxcu6EPVJ598Ag8PD4wcORL9+/fPdmKsa9eu4ejRo2jdujXGjRuHjRs3QiaToXv37li0aBHOnDljtoeBKDcYCKhIUygUBudQXycWiyGTyYwulatZs6bBNoMGDUJgYKBBVysAzJgxA/fv38fdu3cxf/58o0vx0tLSDLptBUHAl19+CbFYjNWrV+t/rZvi6uoKd3d3nDlzRj/Q8HVXr17FixcvULduXQBA7dq1YWdnZzRwLcvp06eh0+ng4+MD4FUX95unEF6X1cuQNUJ98eLF2LJli8FkTe3atdO3z5oh8PVlWcuzpgT29fVF79690atXL6P3/OHDh+jWrRs+/vhj2NjYGP1y1ul0SEtLM7gU9NmzZwZjLJRKJWrVqqW/FHT79u36dVnny7P+3rVrV/z444/69cOHD0dAQABat26NYcOGYcGCBRg2bBhatWqF4cOHQyQS6QfcjRo1Cm3btkVgYKB++6yrAX755RdMnDgRKpUKz58/x6pVqwzGWgCvQsHp06eNTjO9TqPRIDQ0FN26dcO3336L7t27Y8GCBRg/fjxkMhm2bNkCV1dXs9sDub+3RtYESFWrVs3V9vQBK8hJD4gKk/79+wsRERG52nb79u1CvXr1hCdPngjHjh0TGjVqJBw4cCDbbXbs2CF4eXkJx44de6fnWL16teDr6yvcunXLZO2dOnUymJgoLCxMaNmypdGESJmZmUKHDh2EwYMH65ft3btX8PLyEn7//XeTzx0RESF4eXkJ0dHRgiAI+kl7zMluEpzsJvIRBEFISkoSevToIXz33XdCSkqK0Lp1a2Hu3LkmJ+h5fRtvb2/9JEyTJ08Wli5dKiiVSpPbVa9eXYiNjRUE4dUkROnp6fp1T548EWrVqiU8ffpUEARB+OSTT4Q///xTvz4xMVF4+fKl8OTJE+HBgwfCnTt3BF9fX+HGjRsGz6FSqYSDBw8KgwcPFpo2bSr4+fkJ8+fPN2hz4MABwcfHRxg/frzQsGFDo0mnsvzwww9Cw4YNhYSEBEEQBOHs2bMmJ4rKem2m9rN//36Tn0liYqLZiYkEQRA+/fRTs98LKtrYQ0CUA0+ePMGSJUsQFRWFZcuWwc3NDW5ubggNDcX48eOxb98+TJ06FU5OTkbb7t69G87OznB3d9fP5Z9FeG2SmqzTBf3798eRI0cwcOBAjBw5EnXq1EFycjLWrl2L2NhYLF++3OAX/tixY3Hq1CkMGDAAQUFBqFGjBuLi4rB8+XJIpVKEhobq23bs2BG7du3CN998g6tXr6JZs2ZwdHTEv//+iwMHDmD79u3o2bOnvgfibQP8smNuW51Oh127dmH+/Pnw9fXF//3f/0EikWDVqlUYPXo0/vzzT0yaNMnkQL/o6Gg4OzsbXX73Zi+OKVZWVgZTA//8889o1aqVflCnWCw2OAWU9Rznz5/HunXrsHHjRgwaNAjffvstNm7caLDfdu3aQSaTYerUqRCJRNi4cSPc3d3RpUsXbNq0CbNnz0Z4eDhat26NmTNnYtCgQfjpp58MBluuXbsWERERWLRokX5yqwYNGqBBgwZvfW2vE17rIXj8+DGOHj2K/fv348WLF/jpp5/MbpeQkPDW3gcqmhgIqNjKOi/9Nrdu3cK5c+fw119/4ciRI2jatCk2bdqEihUr6tu0bdsWW7duxZw5c9CqVSvUqVMHjRo1QpMmTfSnEm7evImEhAT9dfemtG3bFj///DOAVwemlStXIiIiApGRkQgPD0e5cuXg4+NjssvY1tYWW7duxeLFi/Hbb7/h4cOH8PDwgK+vL0JCQgwOlmKxGAsXLsSePXuwbds27NmzB4mJiXByckKFChUwZ84cfRd7XoqPj8fff/+Nixcv4sSJE0hPT8dXX31lMEd/xYoVsXnzZixcuBADBw5EuXLl0KZNG9SoUQO+vr4oWbIkIiMj0blzZ/02WVccmKPVak1ehfHHH39g79692LVrl36ZlZUVYmNj4ePjA4lEAp1Oh+TkZERFRelPxwQGBiIiIgJRUVFo164d4uLicPDgQezbtw9PnjzB9OnT0aZNGxw6dAh///031q5di8ePH2P+/Pn6U0CTJ0+GVCrF559/jn79+mHy5MkIDw/HihUrMGPGDLRq1crs67l58yYUCoX+dZs69XPx4kUkJSWhc+fOuH//Pnx9fdGhQwe0b98eKSkp0Gq1uHjxIlxcXCAWi6FWq/H3338jMTEx2/kvqOhiIKBiKzU1VX+72uxEREQgOjoazZo1w8aNG01eige8mvlvyZIluHLlCvbt24fdu3cjNjZWHwgOHTqkn+L3TYIgICMjw+igJZVKMWTIkHe6syDw6tf4V1999U63JrayskKPHj3MDizMifT09Hd6Ly9duoQZM2bg448/xujRo9G+fXujG/kAr17H119/jaFDhyIyMhKnT5/Ghg0b9CP3dTodevbsqW+vVCrN3rkv6za/pmbos7e3x+TJkw2uwff398f333+vnwERePU5VKpUST+2wd7eHnPmzNFPOX3y5EkcO3YMAQEB6NSpk37AYtu2bXHq1ClUrFgRy5cvNxjzIBKJ8M0336Bp06b6qxC0Wi3mzp2LTp06Zfs+zpkzB2fOnIEgCKhevbrJ8Sh2dnZo2rQpOnTogJYtWxoMhHR0dETLli0xePBg/ftjZWUFFxcXfPPNN7zpUTElEt7lJxJRMfYu0/Sa8/pMhfR+BEHQh6mcfiZarTbbSZtMycjIgEqlgpWVFWxtbXM8m2GW1+smKswYCIiIiAi5n9WCiIiIigwGAiIiImIgICIiomJ+lYEgCOAICiIiKi5EIvO3+y7mgQBITHz7pVJERERFgZOTHOYueuEpAyIiImIgICIiIgYCIiIiAgMBERERgYGAiIiIUMyvMiAiorylVmciIyMdGo2Kl3UXEJFIBBsbW9ja2kMkyv3vfAYCIiLKE2lpKVAqnwMQQSq1eq+DE707rVaDlJQkqFQv8dFHzrneDwMBERG9N7U6E0rlc1hb20GhKAmxOGd3l6TcEwQBqanJSEtLhkr1EjKZTa72w/hGRETvLSMjHYCIYcACRCIR5HIHiERiZGSk5Xo/DARERPTeNBoVpFIrhgELEYnEkEik0Om0ud4HAwEREb03QQDHDFiYSCSGTpf7kZz89IiIiIiBgIiIiCx4lYEgCFCr1ZDJZAbLdTodlEolFAqFhSp7O3t7a0ilxStLaTQ6pKVlWroMIiKzJkwYi7/++hPr129DmTJljdZPmzYRGo0GYWE/6pedOHEMe/fuxO3bt6DVauHtXRXt2nVC+/YdTT7HuXN/Yv3633Dv3l1kZmbC3d0d//lPN3Tu3C3fXldBsVggSEtLg6+vr9n1t27d0v89JiYGy5Ytw8WLF/H8+XNUrlwZQ4YMQZs2bQqiVCNSqRgQi5GcrrHI8xc0hZ0UUl6gSkSFnFxeAnZ29liwYA5mzQo3Wu/o6Ii0tP+Nwp8370ccOnQAw4YFIzj4S8hkMly9ehlLl/6Ms2dPY8qUGRC9dq/gNWtWYf36NRg+PBhffvk1bGxsceXKZfz88zycOfMHQkNnQyz+cH8sWuy/ebVaDQCIjIxE5cqV9ctVKhWUSqX+8dWrVzF06FB89tlnGD16NCQSCU6fPo3x48cjJCQEgYGBBV06ACA5XYPjN5Mt8twFrUVVBRQ2H+6XnIiKB6lUirZt2+P48SM4cuQQWrdua7BeJrNGRkYGAODUqZM4eHA/fv11HVxdS+vbuLqWRv36jdCv36eIijqg7ym4ezcG69atxooVq1Ghgru+fZs27VCnTl0MGNAb+/fvhZ9fl/x/ofnEYoEgISEBAFC+fHmD0wYymQxyuVz/+L///S/8/PwwduxY/bJPP/0Uzs7OCA4ORrt27VC2rHHXEBERFT/W1jYYM2Yc5s37ER9/XB8ODqZPPy9fvhgDBgwyCANZHBwcMGzYSKxcuUQfCH75ZSm6dOlhEAayODmVwowZ38HFxXhfHxKL/eyLj4+Hra0tSpQoYbZNTEwMLl26ZLIXoEWLFnB2dsaxY8fyr0giIvrgtGnTHtWqVcfChXNNrs/MzMS9ezFo0aKV2X00bNgET548RkrKq57g27dvoWnTZmbb16/fCBUrur9X3ZZm0UDg6uqKqKgoBAYGonXr1ujTpw+WLFkClUoFALh9+zacnZ1Rrlw5k/vw8fHBpUuXCrJsIiL6AIwfPxEnTx7DX3/9abTu8eOHEIvFJnsHsjg7u8DW1g4PHjxARkYG4uL+Rdmypo9FRYXFThk8fPgQjx49wrZt2zBs2DCULl0aMTExmD9/Po4fP45169YhPj4eLi4uZvfh6uqKO3fu5LoGkQhQKGxzvJ1UKgGgy/XzfoikUkmu3isiKh6USgk0Gi0kEtHbG+cTkejVH4lEhNKlXREcHIIffwzDunWbYWtrq1+fNU5QLEa29YpEgFQqgkgkQBCEt7a3NLH47f9Xi7Ip32I9BK6urujduzcWL16Mxo0bw8PDA23btsWvv/6Kf/75B7t374ZGo4FWa34aRpFIBCsrqwKsmoiIPhRdu/ZAmTJlsHTpzwbLy5UrD61Wi7i4f81uGx8fh/T0dJQrVwH29vZwdnbB48eP8rtki7JYD0Hfvn1NLi9VqhTq1auHq1evombNmoiLizO7j2fPnsHNzS3XNQgCkJyckePtiuMvZY1Gm6v3ioiKB5Xq1Y83rTb3U+e+L0F49ef1GiZMmILAwL5o3bq9fr2VlTU8PCrhyJHD6NdvoMl9nT59GmXKlIVc7gCtVkCVKl44duwYfHxMXy6/fv1vUKtVGDjwi3x5be9Cp3v1OWT3f7WTk9xsL0GhvJZMq9XCzs4OtWrVwosXLxAbG2uyXXR0NNzd3Qu2OCIi+mCULVsOgwcPRXj4LIMb/wwZMgJr16422UuQkpKC5csXY8iQEfplgwcPxe7dkbh3765R++fPn2PTprUGV8h9iCwWCObOnYtZs2YZLY+Pj8eFCxdQt25deHp6wtPTE+vXrzdqd/ToUSQmJqJr164FUS4RERVyOp0OOp3x+K7PPguASCTGkSOHIAiveg+aN2+JNm3aYfDg/ti9ewcePnyAhISnOHLkEIYMGYDGjZuiXbsO+n1UrVodvXoFYPjwQYiM3IoHD2IRHx+Hw4ej8MUX/eHr2wDduvkX2GvNDxY7ZVCzZk2EhIRArVajT58+cHJywrVr1zB79mw0aNAArVq9uhxk1qxZ6Nu3L6RSKbp3746SJUvi7NmzCAsLQ0hICBwdHS31EoiIqBDJyEg3Oa5MIpFgzJhxGDVqCDIy0vXLx4+fCF/f+ti3bzdWrlwKQRBQpeOzoAsAACAASURBVIo3hgwZYXLq4mHDRqFWLR9s2rQeEREroNXq4OVVFZ9/Phjdu3/YYQAAREJWXLKAq1evYuHChbh+/TpSU1Ph4eGBrl27on///pC+Nlfu7du3MXfuXFy5cgVqtRo1atRAv3793nvqYp1OQGJiao63UyhskfxSV+xmKuQYAiIyJzExHgDg5ORq4UqKr3f5DJyc5BCLTQ8isGggsDQGgnfDQEBEb8NAYHnvGwgK5aBCIiIiKlgMBERERMRAQERERAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiWPBeBkREVDzY21tDKrX870+NRoe0tMz32sf9+/fw668r8M8/txEfHwcXF1dUruyFQYOC4OFRCQBw9OghTJ36DXbvjjJ7v53w8Nk4e/YMNm3aoX+8ffsWTJsWivbtOxm1FwQBLVs2wrBhwejbd8B7vQZzGAiIiChfSaViQCxGcrrGYjUo7KSQvucR78CBfZg9eyY+/bQ3evXqg/LlK+DJk8c4eHA/Bg/uh6+++j906dIdcnkJAECJEiXM7ksuLwEHB4XBY4VCgZ9/noeGDRtDofjIoL1IJMJHH30Ee3v793sR2WAgICKifJecrrHo/V+y7smSW3Fx/yI8fDZCQ2ejadNm+uUKxUeoVq0GPD0r48cfw1Cv3sf6m/OJRKbvGQAAUqnU4M6MUqkUnp5VIJPJ8NNPsxAaOstoG5nMGhJJ/vW0MBAQERG9xfLli+Hr28AgDLzOz68LJBIJ7Oxy/wteo9Fg8uRvMXBgHxw8uN/kLZjzk+VP6hARERVyN25cQ8uWrc2uF4vF6NSps9kxA+/K1bU0xo79GuHhs5GQ8PS99pVT7CEgIiLKxsuXL/H48SOUK1c+R9u1a9cMgOnTBlqtBjVq1DK5rmPH/+CPP44jLGwGwsMXZXvqIS8xEBAREWVDp9NBEIQcb7dy5W+QSiUm123bthl37tw2u+3XX0/C55/3xvbtW+Dv/1mOnzs3GAiIiIiyYWdnh9Kl3fDw4QNUr17znberWNEdEonpQPDmVQSm1n/zzVRMnfoN6tdviAoVKuao5tzgGAIiIqK38PauiiNHorJtM3HiOBw/fjTPnrNx40/QoYMfQkOnQavV5tl+zWEgICIieouhQ0fi3Lm/cOLEMZPrDx06gFOnTqJMmTJ5+rzBwV9CqUzB5s0b8nS/pvCUARER0VtUqOCO4OCxmDbtG/TqFYAWLVqjfPnyePToEY4cicLOndswYcIkVKnijejo8wCQ7biDV+MSdPrHgiAYPM5ia2uLyZO/xfjxYyASiaHT5Xwsw7tiICAionynsJOiRVXF2xvm4/NDZ3zAzYmePXuhVi0frF79C777bjoSEp6iXLkK8PSsjKVLf0XlylUAAOnp6QAApTIFjo4lTe4rPT0NSqXytcfpUCpTTbatVcsHbdq0x65dkUhPT3uv15AdkZCboZNFhE4nIDHR9AeQHYXCFskvdRaddasgZc3wlZycYelSiKiQSkyMBwA4ObkarStK9zIozLL7DLI4OckhFpu+jJE9BERElK+K8kG4KLF8ZCMiIiKLYyAgIiIiBgIiIiJiICAiIiIwEBAREREYCIiIiAgMBERERAQGAiIiIgIDAREREYEzFRIRUT7j1MUfBgYCIiLKV1KpGFYiLbTKBIvVICnhDEgludp28uSvodFoMHv2XLNt2rVrjiFDhqF3734AgNOn/8Dmzetx795dZGRkoGLFiqhXrz4GDw6CtbWNyX28ePEC3bp1gIODApGR+yCVFuwhmoGAiIjynVaZgNS/Ii32/PIGPQB56Vxta2trB61Wm20be3t7yOUlAAB79uzAvHk/YcSIMfjmm6mwtrbGP//cxuLFC3Dq1AksWbIKJUqUMNrHvn27UaNGLcTHx+H48aNo06ZdrurNLcv34RARERViYrHY7B0CDdu8OqSuW7cGQUEj4O//GUqXdoOjY0nUr98ICxcuR0LCU+zYsc1oe51Ohx07tqJr1x7o3Lkbtm/fnC+vJTvsISAiIspD6enpJk8LyOVyrF69EQrFR0brzpw5hfT0NLRu3Q6pqUqsWbMKd+7cQpUq3gVRMgD2EBAREeWptm3bIyJiJf744wQEQTBYV7q0G2xtbY222bZtM/7zn26QyWQoWdIJrVq1xfbtWwqqZADsISAiIspTwcFfQi4vgZkzp0MkEqFateqoXbsOGjVqiqpVqxm1f/AgFn///Re+/nqiflnPnp8hJGQ4RowYAwcHhwKpmz0EREREeUgkEmHQoCDs2ROFH3+ch4YNG+Off25j5MghmDDhS7x8+dKgfWTkVjRq1ARubmX0y2rWrAUPD0/s3burwOpmDwEREVE2JBKp0UH8TWq1GhKJ4SFVKpWiZs3aqFmzNnr37oe4uH8xcuQQrFmzCkOHjgTwarzB77/vRmZmJtq1a/7GPlVITk5G79599QMW8xMDARERUTbKly+PqKj9Ztenpqbi+fMkVKzojtjY+9izZyeGDBlmNLCwdGk3NG/eErdu3dQvO3BgH6ytbbBixRqjg/7Lly8xdOhAnDlzCk2bNsvbF2UCTxkQERFlw9e3Ae7ejUF09HmT6yMjt8DZ2QUeHpUAABs2/IZz586abBsbex9lypTVP962bTM6d+6G8uUroGzZcgZ/PD0ro3Xrdti2rWAuQWQPARER5TtJCedXkwNZ8Pl1wtvbmeLtXRW9e/fDpElfY9CgIWjUqCkcHR3x5Mlj7N+/D7t2ReK7736ATCZDxYru8Pf/DDNmTMEXXwxDw4ZNUKqUM+LinmDbts24du0qxowZBwA4f/4v3L9/F7NmzTH73J06dUZIyAjcv38P7u4euXsB70gkvHlNRDGi0wlITEzN8XYKhS2SX+pw/GZyPlRV+LSoqoDCRozk5AxLl0JEhVRiYjwAwMnJ1WhdUbmXwZ9/nsbmzRvw8GEsnj9PQunSZeDt7Y2BA4egQoWKBm2PHTuM3bt34sGD+0hMTESpUqVQq1Zt9OsXiEqVPAEAISEjkJDwFOvXG09U9L+aNejSpT0++aQ5Jk/+Ntv6svsMsjg5yc1OssRAwEDwVgwERPQ273Iwovz1voHA8pGNiIiILI6BgIiIiApfINi0aRO8vb1x5coVg+UJCQmYOnUqunTpgnr16sHf3x9bt241mhaSiIiIcq5QBYLr169j9uzZAF7dBCLLw4cPERAQAACYN28e9u/fj6CgIMydOxdhYWEWqZWIiKgoKTSBICkpCaNGjcLw4cMBwGCChvDwcFSpUgWhoaHw9PSEi4sLOnbsiIiICKxbtw4XLlywVNlERERFQqEIBGq1GqNHj0adOnXQrVs3AK/mggYApVKJqKgoBAYGGm1XpUoV+Pr64uDBgwVZLhERvUEkEkGn0/I0rgUJgva9pjguFIFg5syZSE9Px/fffw+NRmOw7t69e9BoNKhbt67JbX18fHD58uWCKJOIiMywsbGFVqtGamoyBEFn6XKKnbS0FGg0alhZWeV6HxafqXDDhg04dOgQtm7dChsbG6P18fHxUCgUkMlkJrd3dXVFYmJirp5bJHo1p0BOSaUSAMXrCy+VSnL1XhFR8VCihDUADVJTU5CRkQqJRGr2enfKWzqdDhqNGg4ODihdurS+h92UbFZZNhCcO3cOP/zwA1auXAk3NzeTbTQaDbRardl9iMXi90pERET0/sRiMdzcyiAjIx1KpRIajQY6XfH64WQpEokM1tYKODqWzDYMvI3FAsG9e/cQHByMSZMmwdfX12QbjUYDJycnKJVKpKamGlx5kCUhIcFsmHgbQUCuZt8rjr+UNRotZyokoncggrW1A6ytLV1H8ZOSkv0tmoFXMxWaywwWCwQ7d+7EixcvEBoaitDQUP3yrAEpfn5++sGGUqkUly9fRpMmTYz2Ex0djapVqxZY3UREREWRxQJB37590blzZ4hEIoMujvj4eAQGBmLp0qVwdHREyZIlcenSJWzYsMEoENy4cQPR0dGYPn16QZdPRERUpFgsELi4uMDFxcVouVT6qqRy5crB3d0dADB9+nR0794dEydORP/+/eHm5oYrV67gu+++Q58+feDp6VmQpRMRERU5Fr/K4E0vXrwAAKSkpOiXlStXDjt37kR4eDiCg4OhVCpRrVo1BAUFoVevXpYqlYhyqbDcDregvO9td4kKAm9/zNsfvxVvf0x5TaGwhZVIC60ywdKl5DtJCWeoBQn//VChkN3tjwtdDwERFQ9aZQJS/4q0dBn5Tt6gByAvbekyiN6q+PTZERERkVkMBERERMRAQERERAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIgASC1dABV+9tYSSKViKBS2li6lQGg0OqSlZVq6DCKiAsVAQG8llYgg0qogTk2wdCn5TlLCGZBKLF0GEVGBYyCgd6JVJiD1r0hLl5Hv5A16APLSli6DiKjAcQwBERERMRAQERERAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAgMBERERAQGAiIiIgIDAREREYGBgIiIiMBAQERERGAgICIiIjAQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBEREQApJYuICYmBvPnz8e1a9fw7NkzlC5dGq1bt8bQoUPh6Oiob5eQkIAFCxbg4sWLePz4MTw8PBAQEAB/f3+IRCILvgIiIqIPn0V7CC5cuIBu3bqhdOnSWLlyJU6cOIHZs2fj0qVLGDp0KHQ6HQDg4cOHCAgIAADMmzcP+/fvR1BQEObOnYuwsDBLvgQiIqIi4Z0DQWZmJmbMmIEnT56YbXPy5EksXLjwnZ/8+vXr6NGjByZNmgQPDw8oFArUqVMHP/30Ey5fvox//vkHABAeHo4qVaogNDQUnp6ecHFxQceOHREREYF169bhwoUL7/ycREREZOydA4FMJsPGjRuhUqnMtrGzs8Pu3bvf+cn79euH0NBQo+VarRYAIJfLoVQqERUVhcDAQKN2VapUga+vLw4ePPjOz0lERETG3jkQiEQiCIIAiURits3Tp0+RmJiY62J0Oh1u3ryJCRMmoGfPnihTpgzu3bsHjUaDunXrmtzGx8cHly9fzvVzEhER0TsMKly0aBEiIiJgb28PkUiEvn37Qio13kyn0yExMRHNmzfPcRGHDh3C119/DbVaDZFIBH9/f0yePBkAEB8fD4VCAZlMZnJbV1fXXIcQkQhQKGxzvJ1UKgGgy9VzUuEnlUpy9b2gdyeVSorVvyB+p/KXRCIudoPLBUGAVpvzf0XZvU1vDQQ1a9ZEr169YGtri8WLF6Njx45QKBQmnkQEFxcXdO7cOccFNmrUCDt27IBGo0FMTAxWrVqFvn37YvXq1dBoNPpTCKaIxWJYWVnl+DmJiKhoEIlEEGlV0CoTLF1KgZCUcAYkpn8kv4+3BoKWLVuiZcuWAIDFixcjICAAlSpVytMi5HI55HI5AMDT0xPNmjWDn58fVqxYgSZNmkCpVCI1NVXf5nUJCQlwc3PL1fMKApCcnJHj7Zj0izaNRpur7wW9O4XCtlhNgsLvVP5SKGwhTk1A6l+Rli6lQMgb9IBOXjpX3yknJ7nZXoIcXWVQpUoVqNXqHBdgjkqlMrk/W1tb1KhRAzdv3kS1atUglUrNjhOIjo6Gu7t7ntVERERUHL1zILC2tsbu3bvh7e2dJ0/87NkzNGjQAFu2bDFap1KpcOPGDbi7u0Mul6NJkybYsGGDUbsbN24gOjoavXv3zpOaiIiIiqscz1R4584d7NmzB0+fPtVPHJRFq9UiNTUVS5cufet+SpUqhZ49e2L27NlQqVRo164d7O3tERMTg59//hkZGRkYMGAAAGD69Ono3r07Jk6ciP79+8PNzQ1XrlzBd999hz59+sDT0zOnL4OIiIhek6NAcPHiRQQGBsLa2hoeHh4GI/8FQYBarUZqauo772/atGlo2LAh1q1bh1WrViE5ORlubm5o3LgxZs6ciTJlygAAypUrh507dyI8PBzBwcFQKpWoVq0agoKC0KtXr5y8BCIiIjIhR4EgPDwcLVu2xA8//GD2MsCc6tChAzp06PDWdmXLlsWcOXPy5DmJiIjIUI4CwfXr1/Hrr7/mWRggIiKiwiFHV/7Y2toiKSkpv2ohIiIiC8lRIGjbti3WrFmT7URBRERE9OHJUSAYN24ckpOTERISwp4CIiKiIiRHYwiGDx8OKysrHDlyBMePH0e1atUMxhOoVCqkpaVh7969eV4oERER5Z8cBQIrKyuUKlUK3bp1M7leo9EgJSUlTwojIiKigpOjQPDrr7/mVx1ERERkQcXp/iJERERkRo7HENjb20Mmkxnde1oQBKhUKiiVSixfvjxPiyQiIqL8laNAcO/ePcjlclhbW+sDQdaNiHQ6HWrXrg2JRJIvhRIREVH+yVEgOHDggMnlT58+xbRp05CUlMRxBkREhYC9vTWk0uJxVlgqlUD39mb0Fjm+26EpLi4uWLRoEYKCgjB37lxMmjQpL3ZLRES5JJWKAbEYyekaS5eS75xKsGc6L+RJIAAAqVSK/v37Y8aMGQwERESFQHK6BsdvJlu6jHzXtZ4TR8jngTx9D0uXLo20tLS83CUREREVgDwNBJs2bYK3t3de7pKIiIgKQI5OGQQFBZm87DAzMxM3b97Ew4cPsXjx4jwvkoiIiPJXjgLBkydPUKJECVhZWRkEArFYjDp16mD69Olo3LhxnhdJRERE+StHgYA3LSIiIiqaODCTiIiIcnfZ4ZYtW7Bnzx78888/AIDKlSuja9eu8Pf3z9PiiIiIqGDkKBAIgoAhQ4bg7Nmz6NChAz755BOIRCLcunUL06dPx8GDB7Fs2bL8qpWIiIjySY4CwW+//YarV69i586d8PT0NFg3YsQI9O3bF2vXrkX//v3ztEgiIiLKXzkaQ7B//36MGTPGKAwAQKVKlTB69Gjs27cvz4ojIiKigpGjQHDnzh3UqVPH7HofHx/cuXPnvYsiIiKigpWjQODg4IAXL16YXa9UKuHg4PDeRREREVHBylEgqFq1aranBPbu3YuqVau+d1FERERUsHI0qHDEiBHo06cPnJ2dMXz4cNjY2AAAXr58iWXLlmHHjh3YtGlTvhRKRERE+SdHgaBmzZqYOXMmwsLCsGrVKlSoUAEikQixsbGwtrbGzJkzUaNGjfyqlYiIiPJJjicm6t69O5o3b46jR48iJiYGgiAgMDAQLVq0QKlSpfKjRiIiIspnuZqp8Nq1a0azEq5evRqffvop7O3t86QwIiIiKjg5vpfB6NGjMWrUKKSlpemXKZVKLFq0CAMGDIBKpcrTAomIiCj/5SgQrFy5EtevX8eOHTsMegJKlCiBgwcP4uXLl1iwYEGeF0lERET5K0eB4PDhwxg/fjwqVapktM7R0RHBwcE4depUnhVHREREBSNHgeD27dsmw0CWSpUqITY29r2LIiIiooKVo0BQvnx5xMTEmF1/+/ZtVKhQ4b2LIiIiooKVo0DQuHFjzJ8/H0ql0mhdSkoKFi1ahCZNmuRZcURERFQwcnTZYUhICI4dO4b27dsjICAAXl5eEIvFuH37NtavXw8HBweMGTMmv2olIiKifJKjQGBjY4Nt27ZhyZIliIyMRFxcHARBgIuLC7p06YLRo0frpzMmIiKiD0eOJyays7PDuHHjMG7cOGRkZECr1UIul+dHbURERFRAcjVTYRZbW9u8qoOIiIgsKMczFRIREVHRw0BAREREDARERETEQEBERERgICAiIiIwEBARERHe87JDIsob9vbWkEqLTz6XSiXQWboIIjLAQEBUCEilYkAsRnK6xtKlFAinEhJLl0BEb7B4IEhKSsK8efNw/vx5PH78GE5OTqhXrx5GjBgBT09PfbuEhAQsWLAAFy9exOPHj+Hh4YGAgAD4+/tDJBJZ8BUQ5Y3kdA2O30y2dBkFoms9J56vJCpkLPpvMiEhAV27dsWDBw8wa9YsnDhxAsuWLYOVlRUCAgIQGxsLAHj48CECAgIAAPPmzcP+/fsRFBSEuXPnIiwszJIvgYiIqEiwaCBYsWIFrK2tsWLFCtSuXRsKhQJVqlRBWFgYHBwcsHv3bgBAeHg4qlSpgtDQUHh6esLFxQUdO3ZEREQE1q1bhwsXLljyZRAREX3wLHrKoGrVqqhWrRqsrKyM1olEIqjVaiiVSkRFReGXX34xalOlShX4+vri4MGDqFu3bkGUTEREVCRZNBD07NnT5PIlS5bg33//hZ+fH+7duweNRmP2gO/j45PrHgKRCFAocn6DJqlUAnCMdJEllUpy9b143+fkd6ro4neK8lpuv1PZDbkrVON6kpKSMGbMGCxevBhhYWHw9vZGfHw8FAoFZDKZyW1cXV2RmJhYwJUSEREVLRa/yiDL3r17ERoaitKlS2PTpk2oUaMGAECj0UCr1ZrdTiwWmzzl8C4EAUhOzsjxdgWd9KlgaTTaXH0v3ge/U0Ubv1OU13L7nXJykpvtJbB4IBAEAf/973+xZcsWjBo1CkFBQZBK/1dWqVKloFQqkZqaCrlcbrR9QkIC3NzcCrJkIiKiIsfipwymT5+OvXv3Yt26dRgxYoRBGACAatWqQSqV4vLlyya3j46Ohru7ewFUSkREVHRZNBCcOHECW7Zswc8//wwfHx+TbeRyOZo0aYINGzYYrbtx4waio6PRu3fv/C6ViIioSLNoIFi+fDmaN28OHx8fqFQq/Z/MzEwolUokJSUBeNWLcObMGUycOBHXrl1DUlISjh8/jpCQEPTp08dgRkMiIiLKOYuNIdBqtbh48SLUajVq1aplsk21atWwY8cOlCtXDjt37kR4eDiCg4OhVCpRrVo1BAUFoVevXgVcORERUdFjsUAgFosRHR1t9nLCrN6CLGXLlsWcOXMKqjwiIqJixWKBQCQSmQ0DACCTybJdT0RERHnH4lcZEBERkeUxEBAREREDARERETEQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAgMBERERAQGAiIiIgIDAREREYGBgIiIiMBAQERERGAgICIiIjAQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAiFIBCo1WqoVCoAgEql0v+diIiICo7FA8Hx48dRq1YteHt7o1atWti7d6/JdjExMZgwYQLat2+P+vXrIyAgAIcPHy7gaomIiIomiweCTz75BGfPnsXly5cBAHK53KjN1atXMWDAAJQpUwa//PILdu7cCX9/f4wfPx4REREFXDEREVHRI7V0ATY2NrCxsdE/trOzM2rz3//+F35+fhg7dqx+2aeffgpnZ2cEBwejXbt2KFu2bIHUS0REVBRZvIfgTWKxYUkxMTG4dOkSAgMDjdq2aNECzs7OOHbsWMEUR0REVEQVukDwptu3b8PZ2RnlypUzud7HxweXLl0q4KqIiIiKFoufMnib+Ph4uLi4mF3v6uqKO3fu5GrfIhGgUNjmeDupVAJAl6vnpMJPKpXk6nvxvs/J71TRxe8U5bXcfqdEIvPrCn0PgUajgVarNbteJBLBysqqACsiIiIqegp9D0GpUqUQFxdndv2zZ8/g5uaWq30LApCcnJHj7Qo66VPB0mi0ufpevA9+p4o2fqcor+X2O+XkJDfbS1Doewhq1aqFFy9eIDY21uT66OhouLu7F2xRRERERUyhDwSenp7w9PTE+vXrjdYdPXoUiYmJ6Nq1qwUqIyIiKjoKzSkDtVoNACanLp41axb69u0LqVSK7t27o2TJkjh79izCwsIQEhICR0fHgi6XiIioSCk0gUCpVAIAUlJSjNbVrl0b27dvx9y5czFo0CCo1WrUqFEDM2bMQJs2bQq6VCIioiKn0ASCkiVL4tatW2bXe3l5YcmSJQVYERERUfFR6McQEBERUf5jICAiIiIGAiIiImIgICIiIjAQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAgMBERERAQGAiIiIgIDAREREYGBgIiIiMBAQERERGAgICIiIjAQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAgMBERERAQGAiIiIgIgtXQBOZGamooFCxbg/PnzuHfvHipUqIAuXbogMDAQUukH9VKIiIgKlQ/mKPr8+XMMGTIErq6uCAsLg7OzM65evYqwsDBER0dj8eLFli6RiIjog/XBBIJffvkFgiBgwYIF+t6AFi1aoHr16ujYsSP27dsHPz8/C1dJRET0YfogxhAIgoDIyEj079/f6NSAs7Mz2rVrh/3791uoOiIiog/fBxEInj9/jmfPnqFu3bom1/v4+ODy5csFXBUREVHRIRIEQbB0EW9z/fp19OjRA3///TfkcrnR+iNHjiAkJARXrlzJ0X7f96UX+jcuj4iy/lL4vyrvTyR6e5t81gMFeAAAEv5JREFUVAzeYQD8ThWkYvAOF6/vE/De3ymRme0/iDEEGo0GAKDT6UyuF4vFubrKwNyb8s7bv9fWHyAL/8dWHBS7d5jfqXxXrN5hfp/eywdxyqBUqVIAgLi4OJPrExISUKZMmYIsiYiIqEj5IAKBm5sbnJ2dcenSJZPro6Oj4e7uXrBFERERFSEfRCAQiURo27YtNm/erD99kCU+Ph4HDx5E7969LVQdERHRh++DGFQIAEqlEt26dUPlypUxYsQIuLu7IyYmBt9//z1cXV05MREREdF7+GACAQAkJSVhwYIFOHXqFJ49ewYvLy+0bdsWQ4YMee8BgkRERMXZBxUIiIiIKH98EGMIiIiIKH8xEBAREREDARERETEQEBERERgIiIiICAwEREREBAaCYuXRo0eYOnUq/P39UbduXbRu3RrDh/9/e3cfFVWdP3D8DYI8CMthI1GopQVlSGibKZ48iui6KhSIGYIKirtKmmvZA/GQRrK5YqcUdV0TOD5kKMd0AV1NTXKFUx1MfFjNI8uWDysDpYaHYZB4cO7vD3/e4zSDYmkmfl7nzNH5fj/fe7935s7lc+/93ntnUV1dfcvTMhqNaDQadu/efdPYgoICgoODf0yXxS9IbW0tr776KiNHjuTxxx8nJiaG1157jfr6ejXm97//PVOmTFHfh4WFsWbNmrvRXfELkJqaikajMXsNGjSI4cOHk56eTl1d3d3uoriOJAT3ie3btxMbG4uNjQ2ZmZns27eP9evXo9PpmDZtGitXrryl6fXp0wcAV1fXm8a6urqq8eLeVFNTQ2JiIu7u7hQUFFBZWcnixYvp6OggLi6OY8eOAbB7927Wrl2rtnN2du7WOiJ6Jjc3N2JiYjh+/Lj6qq6upqCgAIPBwPTp0+no6Ljb3RT/7554/LH4ac6dO8cbb7zB/PnzmTBhglru7u7OzJkz8fDwYN68eURHR+Pn59etaV67M6St7c1zSjs7O3r16vXjOi9+ETZt2kR4eDjz589Xy9zc3Fi2bBlTpkxh+fLlrFmzht69e5u1s7GxkbuI3sfs7e3p7Ow0Wy969+6Nv78/b731FkOHDuWrr77i0Ucf/Vn7ZTAYcHZ2xs7O/E+gyWTq1jatp7p/l/w+snTpUgICAsySgeuNHz+ePXv2qMlAZ2cnhYWFjB8/Hp1OR1RUFG+88QaNjY03nE9rayu5ublER0cTHBzMtGnT+Oc//3nbl0f8/FpaWnBycrJal5eXx7vvvgtAfHw82dnZFjGtra2EhYWxbNkyi7qqqio0Gg01NTXA1Y1yQUEBcXFx6HQ64uLi2Lp1K9ffVHX9+vVERkZy9OhRJk6cyOOPP45Op+PixYu3Y3HFz8BkMgHg5OTEyZMn0Wg0HDp0iBdffJHg4GCCgoLYu3evGl9eXk5ycjJhYWEMGzaMWbNmqevMNVFRUSxbtowvvviCF154gfDwcMaMGUNeXp46P4CQkBACAwMtTme89957aozBYCA7O5tRo0YRHBzMlClTOHTo0B3+VO4uOUJwHzh69CiTJ0/ust7GxgYfHx/1/ezZs9Hr9WRmZhIYGMg333zD6tWrGTt2LNu3b+fXv/61xTRMJhMpKSnY2tqyaNEifHx8qK2tJS8vD3t7+zuyXOLnEx0dzSuvvMLatWtJSkrCwcFBrfPw8FD/7+joiJubm0V7JycnEhIS+Pjjj3nppZfM6vbs2UNoaCgBAQEApKenU1VVxYIFC9BqtXz55ZcsWLCACxcu8PzzzwNXT1kZDAbS0tLIzMzkySefpLGx0awv4persbGRhQsXEhkZiY+PD+fOnQPg1VdfZerUqcybN4+Ojg51W1NYWEhhYSHp6ekMHTqUtrY2tm/fTmJiIvn5+YSHhwNXj1p9+eWXFBcX8/rrr5Odnc1XX33Fyy+/DKD+W1FRgYuLi3rkYvny5Wzbto2EhAQAvv/+e+Lj4/Hw8CA3N5ff/OY37N27lxkzZlBQUEBISMjP+nn9bBTRoxmNRkWj0Sgff/xxt+J3796taLVa5dtvv7WoS0hIULKzs9X3/v7+yueff64oiqKUlZUpISEhSlNTk1mb5uZmZdiwYcqIESN+wlKIX4I9e/YoI0eOVB577DElISFBWbRokVJZWal0dHSoMcnJyUpeXp76fsSIEcqHH36oKIqi6PV6JSAgQDl27Jha39bWpoSGhio7d+5UFEVRDh8+rGg0GuXw4cNm8z5y5IgyaNAg5bvvvlMURVFKSkoUf39/paqq6o4tr/jpMjMzlaCgICUsLEx9BQcHK/7+/kpKSorS3NysKIqi1NXVKf7+/sqKFSssptHQ0KA89thjyr59+yzq3nnnHSUqKkp9n5ycrDz66KPKkSNHzOKWLl2qxMXFWe3jp59+qgwaNEg5cOCAWrZ69WolIiJCaWxsNIvNz89XYmNju/8B3GPklEEP19bWhqIoXLlyxaIuLS2NsLAwwsPDCQ0N5aOPPqKqqophw4bRt29fi/hnnnmGAwcOWJ3PoUOHiIiI4Fe/+pVZuYuLC0899dTtWRhxV40ePZry8nJKS0uJj4+npaWFjIwM4uLi+Prrr2/a3svLi8jISP7xj3+oZeXl5djZ2TFq1CgADh48SFBQEDqdzqytVqvF09OTyspKtczV1ZWwsLDbtHTiTomMjGTbtm1mr40bN+Li4kJKSgrt7e1q7MiRIy3aHzlyhD59+jBixAiLuvHjx3Pq1CkuXLiglo0aNQqtVmsW5+3tjcFgsGjf2NhIRkYGqamphIaGquVffPEFMTExuLu7m8U//fTT/Oc//6GhoaH7H8A9RE4Z9HDu7u44Oztz6tQpi7rXXnuNV155BVtbWyIjI3FxcUGv1+Pr62t1Wv3790ev11uta2hoYMCAAV22Ez2Hn58ffn5+TJgwgba2NmbPns38+fMpLi6+adtJkyaRlpZGVlYWDg4OlJSUMGHCBPW0Un19PTU1Neoh4Os1Nzebrcdy5cq9wcnJCU9PT7MyLy8vtFotTz/9NFu2bGH48OHA1R2IH9Lr9V1uQ7y8vNSYBx98EIDf/va3FnFdDWzNysrioYceYs6cOWblDQ0NHD58mJKSErNy5f/HsXz99dc9crsmCUEPZ2Njw5AhQ9i/fz/PP/+82Q/jhz9Se3t7vL29u8x+Gxoa8Pb2tlrXv39/syz9el0lEeLe0NraSn5+PlFRUep5/mscHBxITEwkLS2tW9OKiIjA1dWVvXv3EhISQlVVFX/5y1/Uei8vL0JDQ8nNzbXavquBjeLeY2dnh0ajoba2Vk0IrLnRNunaPTC62i7dyAcffEB1dTVlZWUWVxt4eXkRFRVFYmKi1bbWxsn0BHLK4D6QlpbGf//7Xz788MMbxrW1tREWFkZlZaXVP+5lZWVW99wAdDodn376Ka2trWblRqORHTt2/PjOi7vOycmJrVu3UlpaarX+1KlTPPzww92alq2tLYmJiZSWllJWVkZERIS6lwcQHBxMbW0tLi4ueHp6qi93d3e2bNly0ytdxL1DURROnz590z1tnU5HS0sL+/fvt6grKSnBz89PPTrQXTU1Nbzzzjvk5ORYXXdDQkI4ceKE2Tro6elJZ2cnW7ZsobOz85bmd6+QhOA+8Mgjj/Dmm2+Sk5NDTk4O//73v7l06RJ6vZ6Kigrmzp0LXL3cMCoqiuDgYP74xz/y2Wef0djYyMmTJ5k7dy56vd4sFlBvKjJ27Fi8vLyYMWMGR48epbGxkQMHDjBt2jR8fX3NLvkR956MjAw2bdrEm2++ybFjx2hqauLs2bMUFhby97//ndTUVODqetHW1qa26+zstNh4Pvvss1RXV7N582YmTpxoVvfEE08wePBgpk2bxsGDB2lsbOTgwYO8/PLLbN68GWdnZwDa29vNzj2LX6bOzk5MJpP6fbW3t9Pa2srp06fJzs6moaGB2NhY9bu09p3269ePOXPmkJGRQUlJCd9++y1nz57lb3/7G0VFRSxYsECNvXLlitUbHXV0dKjboEuXLvHnP/+Z6OhoRo8ebdavaztCKSkpnDlzhszMTGpqarh48SKffPIJqampVFdXq+thTyOnDO4T48aNIyAggIKCAjIyMqivr8fV1ZV+/foRFBRESUkJgYGBALz33nusXbuWJUuWcPr0afr27UtYWBjbt29XB9m0tLQA0NTUBECvXr344IMPyMvLIyMjg4sXLzJo0CCmTJmCjY0Nf/3rX+/OgovbIjY2loEDB7Jq1SqysrKoq6vDzc2NAQMGsHLlSiIjI4Grl2tdunRJbdfS0qKuI9d4eHgwZMgQjh49SkREhMW83n77bdavX8+iRYs4c+YMDz74IEOHDmXbtm3qZWhGo5Hm5uY7uMTidmhqaqKiosLsKKGNjQ19+/bld7/7HUVFRXh7e3P8+HEAqwP/AJ577jl8fX1Zt24dixcvxsHBgcDAQDZv3oxGo1HjjEYjRqPRov315fv376euro66ujrKysrM4ry9vdm3bx+Ojo5s3bqVpUuXMnfuXM6fP8/DDz/MhAkTSE5O7rE3L7JRlOvu9iGEEEL0YCaTyeodNE0mE62trff1YFVJCIQQQgghYwiEEEIIIQmBEEIIIZCEQAghhBBIQiCEEEIIJCEQQgghBJIQCCF+YOHChWg0GjIzM7sVn5WVhUajIScn57b2Iycnh6CgoFtu19TUhEajobCw8Lb2R4ieThICIYQZV1dX7O3t+eSTT256N8D29nbKy8uxt7e3eNLlT9WnTx+rD7u5mWttbnd/hOjpJCEQQpixtbVVnxi3e/fuG8bu2rULOzs7vL29u3yi3I/l4OBA7969b7ldr169AHrs3eSEuFPkFyOEMGNjY0N7eztPPfUU69evv2Hs+++/z5gxY+7Iw16s3U1OCHHnSEIghLDQ0dFBcnIyJ06c4NChQ1ZjqqurOXHiBBMnTuSHNzw1Go0sXLiQmJgYdDodzzzzDMXFxVy5csXqdKZPn87gwYMZOXIkaWlp1NTUWJ2n0Wjk3XffJSYmBq1WS0REBC+99BL/+9//fvpCC3Gfk4cbCSGsGjhwIEOHDuX999/nySeftKjfsGEDQ4YMISAgwKzcYDDw7LPP4urqysyZM/H19eX48eOsWLGCY8eOkZubq8bu2LGD9PR04uPjee655+jduzefffYZM2bMsJhna2sriYmJdHR0MHfuXPz8/Lh48SJLliwhNTWVnTt3WjzXXgjRffLrEUJ0KSUlhVmzZqHX6/H29lbL9Xo95eXlrF692qLNqlWrsLW1Zd26dbi5uQEQGBiIVqslPj6esWPHMnjwYC5fvszixYtJSkpi3rx5anudTodOp+NPf/oT/fr1U8uPHz+OoiisW7fOrC+Ojo4kJSVx+vRpBg4ceCc+BiHuC3LKQAjRpYiICHx8fCgqKjIrLyoq4pFHHrH6+OKdO3cydepUNRm4JiAgAK1Wy65duwA4fPgwFy5cYPr06RbTGDJkCCEhIWZloaGhfPTRR2bJAEDfvn0BzB67LIS4dXKEQAjRJRsbG1JSUliyZAkvvPACzs7OXL58mS1btpCRkWEx6K+lpYXz58+Tm5vL22+/bTG9jo4OTCYTAGfOnMHZ2dnsKMD1AgICOHfunFmZwWCgpKSEqqoqamtrMRgMN700UgjRPZIQCCFuaNy4ceTl5VFaWkpSUhKlpaXY29szduxYi9hrgwuzsrIYPHiw1eldu5TwZk9e/+EAxPr6epKSkrCzsyMhIYGpU6fi7u7OhQsXSE1N/TGLJoS4jiQEQogbcnR0JDExkQ0bNjBx4kQ2bNjA5MmTcXBwsIh1cXHB09OTK1eu4Ovra1F/6dIl3N3dAfDx8eHy5cucP39ePex/vZMnT5q9LygooLOzkx07dtCnTx+1XC5NFOL2kDEEQggz1vbck5KS0Ov1vPXWW9TX1zNp0qQu20dHR7Nx40aMRqNZuV6vZ/To0axcuRKAJ554ggceeIBNmzZZTKOiooIjR46YlX3zzTf4+PiYJQMmk4mNGzfe0vIJIayTIwRCCDMmk0k9z3+Np6cnf/jDHyguLmbcuHF4eHiY1V++fFltM2fOHP71r38xadIkZs6cyYABA6irq2P58uU88MADTJ48Gbh6NCE9PZ3XX38do9HImDFjsLOz4/PPP2fTpk1ER0dTXV2tziM8PJzFixdTWFhIeHg4Z8+epaioiO+++w6A77//HkAdUyBjC4S4NZIQCCHMNDc309TUZFEeFxfHrl27rI4daG5uxmAwAFefhVBaWsqKFSvIz8+nrq6Ohx56iOHDhzN79mycnJzUduPGjaN///7k5+fz4osv4ujoiFarZc2aNVRWVlJRUaHGTp06FYPBQHFxMatWrWLgwIFERkYyatQoYmNj1T5fOzJxrT9CiO6xUW42skcIIYQQPZ6MIRBCCCGEJARCCCGEkIRACCGEEEhCIIQQQggkIRBCCCEEkhAIIYQQAkkIhBBCCIEkBEIIIYRAEgIhhBBCIAmBEEIIIYD/A668082tD7RBAAAAAElFTkSuQmCC\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(\n",
    "    x='Medal',\n",
    "    hue='NOC',\n",
    "    data=df_medal[\n",
    "        df_medal['NOC'].isin(['CHN', 'USA']) &\n",
    "        (df_medal['Year']==2008)\n",
    "    ],\n",
    "    order=['Gold', 'Silver', 'Bronze'],\n",
    ")\n",
    "ax.set_title('中美2008年奖牌总数对比')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 576x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(\n",
    "    x='Year',\n",
    "    data = df_medal[\n",
    "        df_medal['NOC'].isin(['CHN'])\n",
    "    ]\n",
    ")\n",
    "ax.tick_params(rotation=90, axis='x')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, '我国每年的奖牌数')"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 576x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(\n",
    "    x='Year',\n",
    "    hue='Season',\n",
    "    data = df_medal[\n",
    "        df_medal['NOC'].isin(['CHN'])\n",
    "    ]\n",
    ")\n",
    "ax.tick_params(rotation=90, axis='x')\n",
    "ax.set_title(\"我国每年的奖牌数\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [
    {
     "data": {
      "text/plain": "<seaborn.axisgrid.FacetGrid at 0x7fc109065c10>"
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 961.275x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(\n",
    "    kind='count',\n",
    "    x='Year',\n",
    "    hue='NOC',\n",
    "    data = df_medal[df_medal['NOC'].isin(['CHN', 'USA'])],\n",
    "    aspect=2,\n",
    "    height=6\n",
    ")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [],
   "source": [
    "\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "language": "python",
   "display_name": "Python 3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "3.7.6-final"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "source": [],
    "metadata": {
     "collapsed": false
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}